Services · Microsoft Dynamics 365 · Dataverse

One data layer, so every app and every report reads the same record.

Q: Do we need Dataverse if we only use SharePoint lists?

Not for a simple app, yes once security or relationships matter. SharePoint lists suit small, flat data. Once you need relationships between tables, role based security or auditing, Dataverse is the right layer, and moving later costs more than starting there.

Q: Can Dataverse connect to Business Central?

Yes, through dual-write and virtual tables. Dual-write keeps customers, items and orders in step between Dataverse and Business Central. Virtual tables let Dynamics show Business Central data without copying it.

Q: How do you keep the model from degrading?

Solutions, environments and a named data owner. Every change ships in a solution through development and test to production. Naming conventions and a data dictionary are maintained, and one person owns the model.

Q: Can you fix an environment that has grown messy?

Yes, and it is a common starting point. We inventory what exists, design the target model, migrate and repoint apps, and retire duplicates, usually without a stop in day to day use.

Dataverse designed properly: tables, relationships, security roles and business rules modelled once, so Dynamics 365, Power Apps and Power BI all read the same customer, the same order and the same case.

The layer most implementations rush, and the one that decides whether the estate still makes sense in year three.

Get in touch All Dynamics 365 services

Built for: Companies running Dynamics 365 or the Power Platform that want their data modelled once and governed.
Typical timeline: A data model for a new app in two to three weeks. A review and rework of an existing environment in four to eight.
What you own: Your environments and your tables, documented in a data dictionary your team can read.
Rated: 4.7 / 5 from 23 Google reviews

200+ companies servedFrom a first store to an ADX listed developer

What you get

What we do with Dataverse.

Modelling, security, integration and the governance that keeps a shared data layer shared. Clients come to us for Microsoft Dataverse in Dubai when Power Platform data is spread across spreadsheets, lists and apps with no single owner.

Explain your project

Data modelling
Tables, columns, relationships and choices designed around the business, with naming conventions your team can follow.
A new app reads existing tables instead of inventing its own.
Security roles and teams
Roles, business units and column level security designed so each person sees exactly what their job needs.
Access is decided once and enforced in every app.
Business rules and plugins
Validation, calculated columns and server side logic in business rules where possible and plugins where necessary.
Rules apply whether a record comes from an app, a flow or an import.
Dataverse integration
Virtual tables, dual-write to Business Central, Azure Synapse Link and the connectors that bring other systems in.
Finance and CRM data meet without a nightly export.
Migration into Dataverse
Data from SQL, spreadsheets and legacy systems cleaned, mapped and loaded with duplicates resolved.
The new environment starts clean.
Environment strategy and ALM
Development, test and production environments, solutions and a release process.
Changes reach production on purpose, with a rollback.

Who this is for

Three reasons to take Dataverse seriously.

Dataverse is the quiet layer under Dynamics and the Power Platform. These are the situations where getting it right matters most. A clear data model is what keeps Power Platform data usable as more apps are built on it.

Several apps, each with its own copy of the customer

Three Power Apps and the CRM each hold a customer table and none of them agree. One Dataverse model ends it.

One customer record.

Security requirements the apps cannot meet

Regions, entities or sensitive columns that must be restricted. Dataverse security roles enforce it below every app.

Enforced below the apps.

A Dynamics estate that has grown without a plan

Custom tables added per project, no naming convention, no documentation. A review and a rework before the next app.

A model you can read.

Four steps to a data layer that lasts.

01InventoryWe list every table, app and flow that reads it, and where the same concept exists twice.
02ModelA target model is designed with the business: tables, relationships, roles and rules, documented in a data dictionary.
03Migrate and refactorData is cleaned and moved into the target model, apps are repointed, and duplicates are retired.
04GovernEnvironments, solutions and a release process keep the model intact as the next apps arrive.

How we work together

Three ways to buy Dataverse work.

Dataverse capacity is licensed through Dynamics or Power Apps. We cost any additional storage in writing. Our approach to Microsoft Dataverse in Dubai starts with a data model agreed with the people who will use it.

Fixed scope

A defined implementation with a deadline

We agree what the system has to do, write it down with a price and a date, and deliver exactly that. Changes are priced before they are made, not discovered on the invoice.

Written scope and acceptance criteria
Fixed price and delivery date
A sandbox you can open every week
30 days of fixes after go-live

Get in touch

Dedicated team

An estate that keeps evolving

Named consultants and developers who work your hours, join your standups and stay on your tenant. You direct the backlog; we own the quality of what ships.

Senior consultants, not a rotating bench
Your tenant, your tools, your process
Monthly, cancel with 30 days notice
A lead who answers for the team

Get in touch

Retainer

Something live that needs looking after

A monthly block of hours for improvements, release wave testing and the small requests that otherwise wait months. Unused hours carry for a quarter.

Agreed response times
Release waves tested in your sandbox first
A monthly report of what changed and why
Priority access to the same team that built it

Get in touch

Technology

What we build this with.

Chosen to fit the problem and the team who will own it afterwards.

01Data and cloud

PostgreSQL
MySQL
MongoDB
AWS
Azure
Docker

02Business platforms

Microsoft Dynamics 365
Business Central
Power Platform
Odoo

Questions people ask about Dataverse.

Is Dataverse a database?

It is the data platform under Dynamics 365 and the Power Platform.

It stores tables and relationships like a database, and adds security roles, business logic, auditing and connectors on top. You model data once and every app in the estate uses it.

Do we need Dataverse if we only use SharePoint lists?

Can Dataverse connect to Business Central?

How do you keep the model from degrading?

Can you fix an environment that has grown messy?

Services that usually go with this one.

Microsoft Dynamics 365 and CRMThe whole lane: Dynamics 365, Business Central and the Power Platform around them.Power Platform developersPower Apps and Power Automate for the processes between systems.Power BI developersDashboards on clean models, so finance and sales agree.

Tell us what the business needs. We will tell you what to build first.

Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.

Get in touch

PROVEN RESULTS

4.7 / 5from 23 Google reviews

One data layer, so every app and every report reads the same record.

What we do with Dataverse.

Data modelling

Security roles and teams

Business rules and plugins

Dataverse integration

Migration into Dataverse

Environment strategy and ALM

Three reasons to take Dataverse seriously.

Several apps, each with its own copy of the customer

Security requirements the apps cannot meet

A Dynamics estate that has grown without a plan

Four steps to a data layer that lasts.

Three ways to buy Dataverse work.

Fixed scope

Dedicated team

Retainer

What we build this with.

Questions people ask about Dataverse.

Services that usually go with this one.

Tell us what the business needs. We will tell you what to build first.